Daily bread 01/29/2021

• How AI and Machine Learning Will Shape Software Testing - insideBIGDATA

  • How AI and Machine Learning Will Shape Software Testing
  • beyond the available budget
  • market demands encourage rapid development phases
  • little time for adequate testing
  • improve the scope and reliability of testing
  • Companies large and small are
  • meets client expectations and deadlines
  • increasingly turning to artificial intelligence and machine learning to augment their testing processes
  • pumping money into the world of artificial intelligence
  • has brought about profound change
  • AI and quality assurance are a match made in robot-heaven
  • on the frontier of
  • The life-cycle of software is increasingly shortening and becoming more complicated
  • boom in the popularity and use of microservices
  • rigorous testing must be carried out
  • need to meet milestones and deadlines set by clients and executives
  • to improve the pace, accuracy, and cost
  • Improved code coverage
  • there is a debate over
  • a pipe dream
  • often grow organically
  • a haphazard process
  • an integral step in
  • a difficult sell
  • patching up the holes
  • a massive time sink
  • a far more realistic proposition
  • Avoid delays with regression testing
  • a particularly time-consuming part of
  • poorly documented
  • developer turnover on a project is high
  • quickly become a bottleneck in the testing process
  • may seem infeasible
  • in a timely manner
  • on the fly
  • Parallel testing
  • a rapid deployment pace
  • to significantly cut down device testing time
  • which tests can and cannot be run concurrently
  • thorough regression tests
  • near-zero risk of
  • a costly and time-consuming process
  • deliver more reliable software with fewer bugs

Posted from Diigo. The rest of my favorite links are here.